وظائف مطور قواعد بيانات - القاهرة مصر

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description Luxoft is a global software services company delivering professional solutions across sectors such as Finance, Automotive, and Digital Transformation. We are establishing a new team focused on developing and enhancing Android Framework components, specifically SystemUI and Homescreen, for our client's In-Vehicle Android Infotainment (IVI) systems. The team aims to understand user interactions with information and vehicle infrastructure to shape the future IVI experience for 2026 and beyond. Recognizing software as a key driver of innovation and differentiation in automotive environments, we build a software foundation that leverages open-source technologies in alignment with their communities. Our approach incorporates modern continuous integration and continuous delivery practices, extending deployment directly into the vehicle. The project follows agile principles and is scaled across a large, multi-hundred-person team. Through combining advanced technologies, agile methodologies, and a commitment to optimal solutions, we collaborate with our OEM partner to define the future of IVI systems. Responsibilities Collaborate within an end-to-end (E2E) team alongside system engineers, product owners, designers, backend teams, and QA. Implement, test, and refine new features for the existing Android Automotive application stack. Work with Product Managers and UI/UX designers to translate requirements into technical solutions that integrate with the current architecture. Diagnose, troubleshoot, and resolve software defects, bugs, and performance issues promptly. Maintain and enhance codebase health through regular refactoring and optimization. Skills Must have This role requires advanced expertise in Android development, demonstrated by a proven track record of delivering successful applications. The candidate must apply strong technical skills to develop and maintain robust mobile solutions. Hard skills: Expert knowledge of Kotlin and Java programming and comprehensive familiarity with the Android SDK. Proficient in Android Architecture Components such as Lifecycle and ViewModel, along with implementation of design patterns including MVVM, MVI, Clean Architecture, and SOLID principles. Extensive experience with the Android Framework, covering services (foreground/background), ContentProviders, IPC mechanisms (Binder, AIDL, Messenger, Intents/Broadcasts), and the permissions model including runtime and privileged permissions. Solid understanding of Android system aspects such as process lifecycle, memory management, out-of-memory behavior, ActivityManagerService, app sandboxing, and security fundamentals. Skilled in log analysis using logcat, performance profiling, and the use of debugging tools. Practical experience with Android Studio, Gradle build system, and Git version control. Familiarity with Linux internals, basic shell operations, SELinux policy, and system-level concepts pertinent to embedded devices. Experience with Android Automotive OS, including AAOS application models, HMI constraints, and Car APIs. Soft skills: Ability to troubleshoot complex system-level and application issues methodically. Effective use of technical tools and resources for performance optimization and debugging. Capability to understand and adapt to platform-specific constraints and requirements. Nice to have Previous experience with Android Automotive Operating System (AAOS) and Android Open-Source Project (AOSP) frameworks: Demonstrated familiarity with these platforms is beneficial for understanding their structure and development processes. Spanish language proficiency: Ability to communicate in Spanish is an optional asset for enhanced collaboration in relevant contexts. Other Languages English: B2 Upper Intermediate Seniority Senior</p><br> </div>

<p><h4>Who we are</h4> <p><strong>VOIS (Vodafone Intelligent Solutions)</strong> is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through talent, technology, and transformation.</p> <p>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other telco and tech companies to drive transformation, meet the challenges of our industry, and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and third-party capability.</p> <p>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.</p> <h4>About this role</h4> <p>This role is suited to individuals with strong backend expertise who enjoy working on complex, distributed systems using modern Java frameworks, cloud technologies, and microservices architectures. The position follows a hybrid working model and offers the opportunity to contribute to large-scale, business-critical platforms within a global environment.</p> <h4>What you’ll do</h4> <ul> <li>Design, develop, and maintain robust Java-based applications for enterprise-wide platforms.</li> <li>Build and enhance microservices using Spring Boot, Spring Cloud, and Spring Security.</li> <li>Develop solutions to complex technical problems, ensuring scalability, reliability, and performance.</li> <li>Work with Java 8 or Java 17 environments, applying modern language features and best practices.</li> <li>Implement containerised services using Docker and Kubernetes.</li> <li>Collaborate within CI/CD pipelines to enable efficient build, test, and deployment processes.</li> <li>Contribute to cloud-based deployments and services, with exposure to AWS environments.</li> <li>Work closely with cross-functional teams to deliver high-quality outcomes aligned to business needs.</li> <li>Apply strong problem-solving and analytical skills to diagnose and resolve technical issues.</li> </ul> <h4>Who you are</h4> <ul> <li>You have strong hands-on experience with Java and enterprise application development.</li> <li>You bring solid expertise in Spring Boot, Spring Cloud, and Spring Security frameworks.</li> <li>You have experience designing and working with microservices architectures.</li> <li>You are comfortable working with containerisation technologies such as Docker and Kubernetes.</li> <li>You have familiarity with CI/CD pipelines and cloud platforms, particularly AWS.</li> <li>You demonstrate excellent problem-solving and analytical thinking skills.</li> <li>You communicate clearly and effectively in English, both verbally and in writing.</li> <li>You collaborate well with others and contribute positively within diverse, distributed teams.</li> </ul> <h4>Not a perfect fit?</h4> <p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p> <h4>What's in it for you</h4> <ul> <li>Exposure to enterprise-scale, cloud-native systems within a global organisation.</li> <li>Opportunities to work with modern Java versions, microservices, and container orchestration.</li> <li>Access to structured training programmes and professional certifications.</li> <li>Clear development pathways and potential promotion opportunities in line with HR mobility policies.</li> <li>A hybrid working model that supports flexibility and collaboration.</li> </ul> <h4>What skills you will learn</h4> <ul> <li>Advanced backend engineering practices using modern Java frameworks.</li> <li>Designing and operating scalable microservices architectures.</li> <li>Cloud-native development and deployment on AWS platforms.</li> <li>Container orchestration and service resilience using Kubernetes.</li> <li>Working effectively within CI/CD-driven delivery environments.</li> </ul> <h4>VOIS equal opportunity employer commitment</h4> <p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p> <h4>Join us</h4> <p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.</p> <p>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.</p> <p>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p> <h4>Alert</h4> <p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Project description Luxoft is a global software services company delivering professional solutions across sectors such as Finance, Automotive, and Digital Transformation. We are establishing a new team focused on developing and enhancing Android Framework components, specifically SystemUI and Homescreen, for our client's In-Vehicle Android Infotainment (IVI) systems. The team aims to understand user interactions with information and vehicle infrastructure to shape the future IVI experience for 2026 and beyond. Recognizing software as a key driver of innovation and differentiation in automotive environments, we build a software foundation that leverages open-source technologies in alignment with their communities. Our approach incorporates modern continuous integration and continuous delivery practices, extending deployment directly into the vehicle. The project follows agile principles and is scaled across a large, multi-hundred-person team. Through combining advanced technologies, agile methodologies, and a commitment to optimal solutions, we collaborate with our OEM partner to define the future of IVI systems. Responsibilities Collaborate within an end-to-end (E2E) team alongside system engineers, product owners, designers, backend teams, and QA. Implement, test, and refine new features for the existing Android Automotive application stack. Work with Product Managers and UI/UX designers to translate requirements into technical solutions that integrate with the current architecture. Diagnose, troubleshoot, and resolve software defects, bugs, and performance issues promptly. Maintain and enhance codebase health through regular refactoring and optimization. Skills Must have This role requires advanced expertise in Android development, demonstrated by a proven track record of delivering successful applications. The candidate must apply strong technical skills to develop and maintain robust mobile solutions. Hard skills: Expert knowledge of Kotlin and Java programming and comprehensive familiarity with the Android SDK. Proficient in Android Architecture Components such as Lifecycle and ViewModel, along with implementation of design patterns including MVVM, MVI, Clean Architecture, and SOLID principles. Extensive experience with the Android Framework, covering services (foreground/background), ContentProviders, IPC mechanisms (Binder, AIDL, Messenger, Intents/Broadcasts), and the permissions model including runtime and privileged permissions. Solid understanding of Android system aspects such as process lifecycle, memory management, out-of-memory behavior, ActivityManagerService, app sandboxing, and security fundamentals. Skilled in log analysis using logcat, performance profiling, and the use of debugging tools. Practical experience with Android Studio, Gradle build system, and Git version control. Familiarity with Linux internals, basic shell operations, SELinux policy, and system-level concepts pertinent to embedded devices. Experience with Android Automotive OS, including AAOS application models, HMI constraints, and Car APIs. Soft skills: Ability to troubleshoot complex system-level and application issues methodically. Effective use of technical tools and resources for performance optimization and debugging. Capability to understand and adapt to platform-specific constraints and requirements. Nice to have Previous experience with Android Automotive Operating System (AAOS) and Android Open-Source Project (AOSP) frameworks: Demonstrated familiarity with these platforms is beneficial for understanding their structure and development processes. Spanish language proficiency: Ability to communicate in Spanish is an optional asset for enhanced collaboration in relevant contexts. Other Languages English: B2 Upper Intermediate Seniority Senior</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>This role requires advanced expertise in Android development, demonstrated by a proven track record of delivering successful applications. The candidate must apply strong technical skills to develop and maintain robust mobile solutions. Hard skills: Expert knowledge of Kotlin and Java programming and comprehensive familiarity with the Android SDK. Proficient in Android Architecture Components such as Lifecycle and ViewModel, along with implementation of design patterns including MVVM, MVI, Clean Architecture, and SOLID principles. Extensive experience with the Android Framework, covering services (foreground/background), ContentProviders, IPC mechanisms (Binder, AIDL, Messenger, Intents/Broadcasts), and the permissions model including runtime and privileged permissions. Solid understanding of Android system aspects such as process lifecycle, memory management, out-of-memory behavior, ActivityManagerService, app sandboxing, and security fundamentals. Skilled in log analysis using logcat, performance profiling, and the use of debugging tools. Practical experience with Android Studio, Gradle build system, and Git version control. Familiarity with Linux internals, basic shell operations, SELinux policy, and system-level concepts pertinent to embedded devices. Experience with Android Automotive OS, including AAOS application models, HMI constraints, and Car APIs. Soft skills: Ability to troubleshoot complex system-level and application issues methodically. Effective use of technical tools and resources for performance optimization and debugging. Capability to understand and adapt to platform-specific constraints and requirements.</p><p>Nice to have Previous experience with Android Automotive Operating System (AAOS) and Android Open-Source Project (AOSP) frameworks: Demonstrated familiarity with these platforms is beneficial for understanding their structure and development processes. Spanish language proficiency: Ability to communicate in Spanish is an optional asset for enhanced collaboration in relevant contexts. Other Languages English: B2 Upper Intermediate</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Lead the design and implementation of enterprise Data Management frameworks, governance models, policies, standards, and operating procedures. The consultant will work closely with business and IT stakeholders to improve data quality, establish data ownership, ensure regulatory compliance, and maximize the business value of organizational data assets.</p><br><p><strong>Key Responsibilities</strong></p><br><ul><li>Lead enterprise Data Management and Data Governance initiatives. </li><li>Develop Data Governance Frameworks, Policies, Standards, and Procedures. </li><li>Define data ownership, stewardship, and accountability models. </li><li>Establish Data Quality frameworks, KPIs, and monitoring processes. </li><li>Design Metadata Management and Business Glossary structures. </li><li>Develop Master Data Management (MDM) strategies. </li><li>Support Data Catalog implementation and governance. </li><li>Define Data Lifecycle Management processes. </li><li>Develop Data Classification and Data Retention policies. </li><li>Assess current-state data maturity and recommend improvements. </li><li>Conduct data governance workshops with business stakeholders. </li><li>Support implementation of governance tools and platforms. </li><li>Ensure compliance with local and international regulations. </li><li>Prepare executive reports, dashboards, and governance metrics. </li><li>Mentor Data Management Specialists. </li></ul> </div>

<p><span >The Senior Data Governance Officer is responsible for developing, implementing, and enforcing organizational data governance frameworks, policies, and standards that ensure data is managed securely, ethically, and in compliance with global regulations. This role serves as the primary steward of IFRC's data governance program, translating strategic governance objectives into practical policies, processes, and procedures that enable safe, ethical data utilization across the organization and protect vulnerable populations. The Data Governance Officer will establish data governance structures, manage roles and responsibilities, consider any applicable regulatory compliance, to assist with improving data quality and security, and foster a culture of data responsibility aligned with IFRC's humanitarian principles and commitment to privacy and dignity. The incumbent will support in developing the organizational approach to the distribution of data capabilities and roles.</span></p><p><strong>Data Governance Framework &amp; Strategy</strong></p><ul><li>Design and implement comprehensive organizational data governance framework, including policies, standards and compliance requirements, aligned with organizational strategy, humanitarian principles, and relevant requirements</li><li>Develop governance roadmaps outlining phased implementation of policies, standards, and controls with clear milestones and success metrics</li><li>Establish governance scope, identifying critical data assets, stakeholder roles, and organizational priorities requiring governance attention</li><li>Create and maintain governance policies covering data classification, ownership, stewardship, quality, security, access, and lifecycle management</li><li>Develop governance principles reflecting IFRC's humanitarian values, including principles of data protection, dignity, transparency, and accountability</li></ul><p><strong>Data Classification and Sensitivity Management</strong></p><ul><li>Develop classification standards and guidance for categorizing data based on sensitivity, criticality, and relevant requirements</li><li>Design and implement sensitivity labeling strategies using Microsoft Information Protection and related tools integrated within Microsoft Fabric and Purview</li><li>Create clear labeling guidelines that are easily understood across the organization</li></ul><p><strong>Data Privacy and Compliance</strong></p><ul><li>Support the Data Protection Office with implementation of IFRC s Policy on the Protection of Personal Data</li><li>Support Data Protection Officer (DPO) with governance policy input, and compliance documentation</li><li>Support Data Protection Impact Assessment (DPIA) processes for new data initiatives, ensuring privacy by design principles</li><li>Draft incident response and data breach protocols in coordination with the DPO and CISO, ensuring timely notification and mitigation in accordance with relevant requirements</li></ul><p><strong>Roles, Responsibilities and Accountability</strong></p><ul><li>Establish, assign and document organizational data governance structure with clear role definitions (Data Owners, Data Stewards, Data Custodians, Data Users) and create related RACI matrices</li><li>Support in the development of organizational approach to distribute Data, Analytics and AI capabilities and roles, across dimensions back-end, supporting and front-end as well as centralized, decentralized and emerging roles.</li><li>Provide steward training and onboarding covering governance policies, data quality management, compliance, and communication expectations</li><li>Establish governance committees and forums (e.g., Data Governance Council, domain steward groups) to facilitate coordination and decision-making</li><li>Monitor role performance and accountability, providing coaching and support to ensure effective governance execution</li></ul><p><strong>Data Quality Standards and Monitoring</strong></p><ul><li>Define organizational data quality standards and dimensions (accuracy, completeness, consistency, timeliness, validity, uniqueness)</li><li>Establish and automate data quality metrics, rules and validation checks aligned with business use cases and decision-making requirements</li><li>Develop data quality assessment and monitoring protocols identifying critical data assets and quality requirements</li><li>Establish data quality governance processes including issue identification, escalation, resolution, and continuous improvement</li><li>Monitor data quality metrics, reporting on trends and issues to governance committees and data stewards</li></ul><p><strong>Asset Inventory and Cataloging</strong></p><ul><li>Oversee the development and maintenance of enterprise data asset inventory</li><li>Establish standards for data asset documentation including business definitions, data lineage, and usage guidance</li><li>Implement and maintain Microsoft Purview data catalog systems for centralized data asset discovery, classification, and governance</li><li>Coordinate cataloging activities across the organization, ensuring data assets are properly documented and discoverable</li><li>Monitor catalog usage and provide training to support effective data discovery and asset management</li></ul><p><strong>Access Management and Information Security</strong></p><ul><li>Develop guidelines for secure information sharing with internal teams, partners, vendors, and external stakeholders, including third-party information sharing agreements</li><li>Build and maintain tools and automation to monitor and audit access patterns, investigating and addressing potential violations of access governance policies</li><li>Support implementation of technical security and privacy controls including access controls (including row and column access controls), encryption, pseudonymization, anonymization, and masking where appropriate</li><li>Coordinate with cybersecurity teams on access controls in Microsoft Fabric and related platforms</li></ul><p><strong>Governance Policy Development and Maintenance</strong></p><ul><li>Create and implement data governance policies addressing data collection, processing, storage, access, sharing, retention, and deletion</li><li>Develop policies specific to sensitive data categories (examples: beneficiary data, health information, location data) with appropriate safeguards</li><li>Monitor policy compliance, investigating deviations and implementing corrective actions</li><li>Maintain policy library and version control, ensuring staff access current guidance</li></ul><p><strong>Desired Candidate Profile</strong></p><p>The Senior Data Governance Officer is responsible for developing, implementing, and enforcing organizational data governance frameworks, policies, and standards that ensure data is managed securely, ethically, and in compliance with global regulations. This role serves as the primary steward of IFRC's data governance program, translating strategic governance objectives into practical policies, processes, and procedures that enable safe, ethical data utilization across the organization and protect vulnerable populations. The Data Governance Officer will establish data governance structures, manage roles and responsibilities, consider any applicable regulatory compliance, to assist with improving data quality and security, and foster a culture of data responsibility aligned with IFRC's humanitarian principles and commitment to privacy and dignity. The incumbent will support in developing the organizational approach to the distribution of data capabilities and roles.</p><ul><li>Design and implement comprehensive organizational data governance framework, including policies, standards and compliance requirements, aligned with organizational strategy, humanitarian principles, and relevant requirements</li><li>Develop governance roadmaps outlining phased implementation of policies, standards, and controls with clear milestones and success metrics</li><li>Establish governance scope, identifying critical data assets, stakeholder roles, and organizational priorities requiring governance attention</li><li>Create and maintain governance policies covering data classification, ownership, stewardship, quality, security, access, and lifecycle management</li><li>Develop governance principles reflecting IFRC's humanitarian values, including principles of data protection, dignity, transparency, and accountability</li><li>Develop classification standards and guidance for categorizing data based on sensitivity, criticality, and relevant requirements</li><li>Design and implement sensitivity labeling strategies using Microsoft Information Protection and related tools integrated within Microsoft Fabric and Purview</li><li>Create clear labeling guidelines that are easily understood across the organization</li><li>Support the Data Protection Office with implementation of IFRC s Policy on the Protection of Personal Data</li><li>Support Data Protection Officer (DPO) with governance policy input, and compliance documentation</li><li>Support Data Protection Impact Assessment (DPIA) processes for new data initiatives, ensuring privacy by design principles</li><li><br></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>As Sr Data Engineer you will drive the design, deployment, and continuous optimization of scalable data pipelines that ingest and process a wide variety of structured and unstructured data sources into Mondia’s AWS-based data warehouse and data lake.<br> Implement and maintain reliable data ingestion, transformation, orchestration, monitoring, and CI/CD capabilities across the data platform.<br> Promote operational excellence through automation, GitLab pipelines, Infrastructure as Code, observability, and robust engineering standards.<br> Ensure that high-quality, secure, and well-governed data is available for reporting, advanced analytics, and AI- and machine-learning-enabled use cases across Mondia’s business entities.<br> Social insurance Health insurance for employee and family The company will contribute up to EUR 25 per month towards staff perks Benefit from our performance-based bonus scheme , in line with company policy.<br> EUR equivalent salaries paid in EGP Responsibilities: Collaborate with data engineers, data analysts, product and web analytics teams, software engineers, and business stakeholders in a collaborative and iterative environment.<br> Provide technical guidance and contribute to the definition of data architecture, engineering standards, and reusable solutions across Mondia’s data ecosystem.<br> Design and maintain the data foundations required to deliver reliable internal data products, including well-defined datasets, data sources, dashboards, reports, and analytical solutions.<br> Contribute as a senior member of the team to the reliable operation, performance, scalability, and cost efficiency of Mondia’s AWS-based data platform, including Amazon Redshift, Athena, AWS Glue, Amazon S3, Step Functions, Lambda, EC2, and related AWS services.<br> Design, build, test, deploy, monitor, and maintain end-to-end data pipelines and data management solutions using AWS Glue, Python, SQL, Spark/PySpark, and similar cloud-based ETL and data-processing technologies.<br> Design and implement data models, schemas, tables, and storage structures across Amazon Redshift, Amazon S3, and the wider AWS data platform.<br> Design and maintain orchestration patterns, workflows, event-driven components, and scheduling solutions using AWS Step Functions, AWS Glue Workflows, Amazon EventBridge, AWS Lambda, and similar technologies.<br> Promote operational excellence through automation, GitLab CI/CD, Infrastructure as Code, observability, testing, documentation, and consistent engineering practices.<br> Define, implement, and continuously improve automated data-quality and reliability controls, including checks for completeness, accuracy, consistency, validity, duplication, freshness, and reconciliation.<br> Maintain appropriate data lineage, metadata, technical documentation, and ownership information to improve transparency, trust, and maintainability.<br> Use appropriate programming languages, integration patterns, and engineering tools to connect systems and deliver reliable data solutions.<br> Evaluate technologies based on the use case and adapt as platforms and requirements evolve.<br> Use approved AI technologies and AI-assisted development tools as part of daily engineering activities to improve productivity, code quality, testing, documentation, troubleshooting, and solution design.<br> Identify opportunities to integrate AI capabilities into data products where they provide measurable business or operational value.<br> Communicate technical concepts, results, risks, and recommendations clearly to both technical and non-technical stakeholders across all levels of the organization.<br> Document architectures, data flows, design decisions, operational procedures, and technical standards, while contributing constructively to technical discussions and engineering decisions.<br> Comply with Mondia’s policies, procedures, security requirements, and data-governance standards, while supporting the company’s mission, vision, and values.<br> Perform other reasonable job-related duties and responsibilities as assigned by the direct manager.<br> Bachelor’s degree in Computer Science/Engineering or Statistics.<br> Skills &amp; Experience: +3 years of professional experience in Data Engineering or Data Warehousing with an integrative perspective, from management to operations involvement and hands-on experience with cloud architecture and cloud technologies such as AWS, Azure or Google Cloud Platform GCP.<br> Strong proficiency in Python and SQL; experience with Scala, Java, or Bash/Shell scripting is an advantage.<br> Solid experience with AWS data services, particularly Amazon Redshift, S3, Glue, Athena, Lambda, Step Functions, and EventBridge.<br> Strong understanding of data warehouse, data lake, ETL/ELT, data modelling, and cloud data architecture concepts.<br> Experience building and operating scalable data pipelines using AWS Glue, Spark/PySpark, or similar technologies.<br> Good understanding of cloud security, identity and access management, data protection, monitoring, and logging.<br> Experience with APIs, microservices, and event-driven integration patterns.<br> Working knowledge of GitLab CI/CD, automation, Infrastructure as Code, and modern software engineering practices.<br> Experience using AI-assisted development tools to improve engineering productivity and quality.<br> Very good written and spoken English, with strong technical documentation and communication skills.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>As <strong>Sr Data Engineer</strong> you will drive the design, deployment, and continuous optimization of scalable data pipelines that ingest and process a wide variety of structured and unstructured data sources into Mondia’s AWS-based data warehouse and data lake.</p><br><p>Implement and maintain reliable data ingestion, transformation, orchestration, monitoring, and CI/CD capabilities across the data platform. Promote operational excellence through automation, GitLab pipelines, Infrastructure as Code, observability, and robust engineering standards.</p><br><p>Ensure that high-quality, secure, and well-governed data is available for reporting, advanced analytics, and AI- and machine-learning-enabled use cases across Mondia’s business entities.</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Nawy Proptech is seeking a highly motivated and talented Data Analyst to join our dynamic team.<br> As a Data Analyst at Nawy, you will play a key role in leveraging data to drive strategic decisions and improve business performance.<br> You will be responsible for analyzing, and interpreting different datasets to provide actionable insights that inform various departments across the organization.<br> The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and the ability to communicate complex findings in a clear and concise manner.<br> Collaborate with cross-functional teams to understand business requirements and address data-related challenges.<br> Prioritize business requirements within and across projects based on business impact.<br> Understand business needs to gather, analyze, interpret, and communicate data that informs stakeholders at all levels to make data-informed decisions.<br> Reporting the results back to the relevant members of the business and presenting the story of the data in an easily accessible manner.<br> Providing ad-hoc analysis as required to aid management making judgements.<br> Develop and maintain dashboards, reports, and visualizations to track key performance metrics.<br> Perform advanced data analysis to extract insights, identify trends, and provide actionable recommendations to support business objectives.<br> Bachelor’s degree in Computer Science, Information Systems, or other related technical field or equivalent work.<br> Proven experience as a Data Analyst or similar role, 1+ years of experience in a similar position.<br> Advanced SQL knowledge/experience - complex queries and query optimization.<br> Experienced with data visualization tools such as: Tableau, Looker or PowerBI.<br> Hands-on experience with programming languages.<br> Strong understanding of statistical concepts.<br> Familiarity with data warehouse development and data modeling.<br> Highly detailed oriented, must display passion for analytics and data visualization.<br> Data manipulation skills and experience in identifying numerical trends.<br> Self driven, highly motivated, fast learner, ambitious and creative.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Nawy Proptech is seeking a highly motivated and talented Senior Data Analyst to join our dynamic team.<br> As a Data Analyst at Nawy, you will play a key role in leveraging data to drive strategic decisions and improve business performance.<br> You will be responsible for analyzing, and interpreting different datasets to provide actionable insights that inform various departments across the organization.<br> The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and the ability to communicate complex findings in a clear and concise manner.<br> Collaborate with cross-functional teams to understand business requirements and address data-related challenges.<br> Prioritize business requirements within and across projects based on business impact.<br> Understand business needs to gather, analyze, interpret, and communicate data that informs stakeholders at all levels to make data-informed decisions.<br> Reporting the results back to the relevant members of the business and presenting the story of the data in an easily accessible manner.<br> Providing ad-hoc analysis as required to aid management making judgements.<br> Develop and maintain dashboards, reports, and visualizations to track key performance metrics.<br> Perform advanced data analysis to extract insights, identify trends, and provide actionable recommendations to support business objectives.<br> Bachelor’s degree in Computer Science, Information Systems, or other related technical field or equivalent work.<br> Proven experience as a Data Analyst or similar role, 3+ years of experience in a similar position.<br> Advanced SQL knowledge/experience - complex queries and query optimization.<br> Experienced with data visualization tools such as: Tableau, Looker or PowerBI.<br> Hands-on experience with programming languages.<br> Strong understanding of statistical concepts.<br> Familiarity with data warehouse development and data modeling.<br> Highly detailed oriented, must display passion for analytics and data visualization.<br> Data manipulation skills and experience in identifying numerical trends.<br> Self driven, highly motivated, fast learner, ambitious and creative.<br></span> </div>

Overview<br><br>Execute day to day master data maintenance processes through all MDM tools across various ERP systems including Pepsi Co’s current SAP ECC PIRT & future SAP MDG and S/4 HANA applications and local legacy system Process the master data requests coming from different tools (SAP WF, Service Now, mail-box and other), master data standard review, communicating with business requestors, etc. Material MDM process Coordinate E2E MDM processes Execute Data Quality requirements<br><br>Responsibilities<br><br>Level 1 contact for Materials requests from business and GBS for any queries related to MDM requests Data maintenance and approver for all master data requests through all MDM tools (SAP WF, SN, MDG and other) to make sure the information is accurate and aligned with all controls and compliance procedures for below processes:Master data maintenance creation/modification/blocking/archiving for:Materials Provide 1st line support on data quality issues Support Master Data Quality and involving business stakeholders on error correction Data extraction & maintain regular MDM reports through common tools (Share Point, Teams or other) Conduct regular MDM training programs for end users and GBS teams Drive resolution of issues with data standards or conflicting requirements, working closely with business stakeholders, DMO MENA Material Champion & DMO Materials Lead Support business users on troubleshooting data errors and/or clean up data based on data quality reports Communicate status of open workflow requests to stakeholders & DMO leads and note follow-ups or issues encountered. Basic knowledge of formal data governance practices and ability to conduct root cause analysis and see connections between data and processes Ensure Global and local DQ requirements per the Materials domain are being followed in the WF and other type of requests Build relationship with sectors thru SLAs, governance and escalation Identify opportunities for future efficiency/standardization<br><br>Qualifications<br><br>Bachelor’s degree or equivalent international qualification0-1 year of experience in Master data management or related experience, especially in Materials master data System implementation, testing & baseline support experience (as a plus) Experience in service center (as a plus) Experience in Fast Moving Consumer Goods Companies (as a plus) Detail oriented, thorough with documentation/communication Working knowledge of Business Processes in Materials Master Data Domain

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Introduction <br> <p>A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.</p><br><br> <br> <br> Your role and responsibilities <br> <p>As a Data Engineer specializing in Data Integration, you will design and build solutions to transfer data from operational and external environments to the business intelligence environment. You will utilize specialized tools to create and implement Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.</p><br><br><p>Your primary responsibilities will include:</p><br><br><p>* <strong>Design Data Integration Solutions:</strong> Create solutions to transfer data from operational and external environments to the business intelligence environment, utilizing tools such as Informatica, Ab Initio software, and DataStage.</p><br><br><p>* <strong>Implement ETL Processes:</strong> Develop and implement Extract, Transform, and Load (ETL) processes to ensure the seamless flow of data throughout the business intelligence solution's lifecycle.</p><br><br><p>* <strong>Utilize Specialized Tools:</strong> Apply knowledge of Informatica, Ab Initio software, and DataStage to design and build data integration solutions.</p><br><br><p>* <strong>Ensure Seamless Data Flow:</strong> Ensure the smooth flow of data throughout the business intelligence solution's lifecycle by creating and implementing effective ETL processes.</p><br><br><p>* <strong>Support Business Intelligence:</strong> Support the business intelligence environment by designing and building solutions to transfer data from operational and external environments.</p><br><br> <br> <br> Required education <br> Bachelor's Degree <br> <br> Required technical and professional expertise <br> <p>* <strong>Exposure to Data Integration Tools:</strong> Familiarity with tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite.</p><br><br><p>* <strong>ETL Process Implementation:</strong> Experience working with Extract, Transform, and Load (ETL) processes to ensure the seamless flow of data throughout the business intelligence solution's lifecycle.</p><br><br><p>* <strong>Data Solution Design:</strong> Exposure to designing solutions to transfer data from operational and external environments to the business intelligence environment.</p><br><br><p>* <strong>Business Intelligence Environment:</strong> Experience working within a business intelligence environment, supporting data integration solutions.</p><br><br><p>* <strong>Data Flow Management:</strong> Exposure to ensuring the smooth flow of data throughout the business intelligence solution's lifecycle.</p><br><br> <br> <br> Preferred technical and professional experience <br> <p>* <strong>Additional Data Integration Tools:</strong> Exposure to other data integration tools beyond Informatica, Ab Initio software, and DataStage can be beneficial in this role.</p><br><br><p>* <strong>Advanced ETL Techniques:</strong> Experience working with advanced ETL techniques and methodologies can enhance the ability to design and implement efficient data integration solutions.</p><br><br><p>* <strong>Business Intelligence Platforms:</strong> Familiarity with various business intelligence platforms can support the development of effective data integration solutions.</p><br><br> <br> <br> <br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>JOB DETAILS:</strong></p><br><p>Position Title: Data Engineer</p><br><p>Reports to: Data and AI Manager</p><br><p>Business Line/ Department: Data and Automation/it</p><br><p><strong>3. JOB PURPOSE: </strong></p><br><p> The Job Holder is Responsible to Builds and maintains data pipelines, ETL/ELT processes, and data integration solutions that move and transform data across the data platform to support analytics, reporting, and AI applications.</p><br><p><strong>4. Job Deliverables</strong> - <strong>Accountability</strong></p><br><p><strong>Description</strong></p><br><p>Deliverables</p><br><p>Pipeline Success Rate ≥99%</p><br><p>Data Freshness SLA Meets agreed refresh schedule</p><br><p>Data Quality Score ≥95%</p><br><p>Pipeline Documentation 100%</p><br><p>Incident Response ≤2 hours for pipeline failures</p><br><p><strong>5. Know How (applying of knowledge &amp; skills in job tasks)</strong></p><br><p><strong>Description</strong></p><br><p>Data Pipeline Development</p><br><p>• Design, build, and maintain ETL/ELT pipelines using Azure Data Factory, Synapse, or Databricks.</p><br><p>• Integrate data from D365 ERP, POS, e-commerce, and external sources into the data warehouse.</p><br><p>• Monitor pipeline performance and resolve data failures promptly.</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Description</span><br><span></span><p><strong><u>Job Purpose:</u></strong></p><br><p>To manage the department roadmap to bring the enterprise-wide data under data governance, create a culture of continuous improvement, increasing efficiency and productivity through coaching, engagement and development of team technical skills. Also, to plan, manage and develop complex and critical analytical data quality assessment and remediation projects for data related problems to highlight the data defects and their impact on the bank strategy, different business plans and regulatory rules.</p><br><p><strong><u>Job Description:</u></strong></p><br><p><strong><u>Roles and Responsibilities</u></strong></p><br><p>1.Promote technical excellence within the team and conduct technical awareness sessions in order to ensure adopting Data Governance best practices.</p><br><p>2.Work with Business Data Stewards in order to plan and monitor complex Data Quality Analytical Projects starting with the project scope, the detailed assessment and remediation activities.</p><br><p>3.Work with IT application architectures in order to identify the integration needs between systems to avoid redundant, outdated, and low quality data.</p><br><p>4.Guide and assist the Business with the proper implementation of the data related policies and procedures in order to ensure closing all the gaps that may lead to data quality defects and mitigate financial losses, operational risks, and regulatory penalties.</p><br><p>5.Lead issues resolution through cross-departmental technology dialogues as well as address issues related to the impact of changes on various users, standardization of data entry and development of reports and data exports in order to meet the needs of the Foundation.</p><br><p>6.Identify and suggest enhancements on the data governance methods, toolsets, and processes in order to enhance data governance maturity level and adopt best practices in the market.</p><br><p>7.Monitor and report data-related risks and violations across the organization to the concerned business stakeholders in order to ensure that data quality is achieved and mitigate regulatory risks and financial losses.</p><br><p>8.Monitor, review, and develop complex data quality analytical projects, models, reports, and Dashboards to monitor and track data defects.</p><br><p>9.Develop complex data quality use cases to descript business problems, data defects trends and patterns using advanced machine learning, data mining, and data quality techniques.</p><br><p>10.Work with business and Technical leads, and data management officials in order to set the base for master data management in order to ensure the newly created data elements and systems follow the data management principles and guidelines.</p><br><p>11.Work with the technical leaders in order to identify the gaps in the data integration and migrations between the different systems, assess their impact on the enterprise data assets, business plans and regulatory requirements, and suggest and provide solutions to close the gaps.</p><br><p>12.Manage the implementation of the Enterprise Data Governance repository, measures, and KPIs used in order to build the Enterprise Data Quality Index and Data Quality Matrices.</p><br><p>13.Lead the development and research activities within the Enterprise Data Governance Department and plan for implementing the new ideas and complex use cases to ensure data governance practices are up-to-date and follow the new technology trends.</p><br><p>14.Plan, develop, own, and maintain the Enterprise Data Governance tools related to the operating model of Data governance and ensure they meet the data governance best practices.</p><br><p><strong>Policies, Processes and Procedures</strong></p><br><p>15.Implement approved department policies, processes, and procedures and monitors adherence so that work is carried out in a controlled manner</p><br><p><strong>Day-to-day operations</strong></p><br><p>16.Implement the day-to-day operations assigned for the department to ensure compliance with the established standards and procedures</p><br><p><strong>Supervision</strong></p><br><p>17.Supervise the activities and work of subordinates to ensure that all work within a specific area is carried out in an efficient manner and in compliance with the set policies, processes and procedures</p><br><p><strong>Compliance</strong></p><br><p>18.Comply with all relevant CBE regulations, banking laws, AML regulations and internal CIB policies and code of conduct in order to maintain CIB’s sound legal position and mitigate any potential risks</p><br><p>19.Oversee and ensure that Data-related decisions, processes, and controls subject to Data are auditable;</p><br><p>Metadata should be timely updated to reflect the real situation</p><br><p>Data architecture should be always up-to-date and reflecting the existing facts</p><br><p>Documentation should be available to support compliance-based and operational auditing requirements</p><br><br> <br> <span>Qualifications</span><br><span></span><p><strong><u>Qualifications &amp; Experience</u></strong></p><br><p>Bachelor’s degree of Information Systems, Computer Science or its equivalent.</p><br><p>7+ years’ experience in implementing and leading data governance, data management, or data analytics initiatives.</p><br><p>Experience in implementing Data Governance programs is a must.</p><br><p>Extensive experience in analyzing and solving complex business problems.</p><br><p>Extensive experience in Data Visualization tools is a must.</p><br><p><strong><u>Skills</u></strong></p><br><p>Strong Quantitative and qualitative analysis and decision making skills</p><br><p>Ability to identify and describe the complex interplay between technologies and organizational structure.</p><br><p>Demonstrated ability to (1) effectively work in an ambiguous environment, (2) effectively work in a cross-team environment, (3) succeed in a complex and dynamic work environment, and (4) work independently, directly with the business partners.</p><br><p>Strong Analytical skills with a high degree of accuracy</p><br><p>Excellent interpersonal and communication skills; ability to develop and maintain effective working relationships with persons at all levels in the organization</p><br><p>Ability to exercise good judgment and discretion, especially with regards to sensitive or confidential personnel and organizational matters</p><br><p>High energy and high endurance; ability to respond flexibly and positively in all circumstances; calm under pressure and tight deadlines</p><br><p>Strong organizational skills; ability to work independently and to priorities a heavy workload of competing assignments</p><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As Sr Data Engineer you will drive the design, deployment, and continuous optimization of scalable data pipelines that ingest and process a wide variety of structured and unstructured data sources into Mondia s AWS-based data warehouse and data lake. Implement and maintain reliable data ingestion, transformation, orchestration, monitoring, and CI/CD capabilities across the data platform. Promote operational excellence through automation, GitLab pipelines, Infrastructure as Code, observability, and robust engineering standards. Ensure that high-quality, secure, and well-governed data is available for reporting, advanced analytics, and AI- and machine-learning-enabled use cases across Mondia s business entities. Responsibilities: Collaborate with data engineers, data analysts, product and web analytics teams, software engineers, and business stakeholders in a collaborative and iterative environment. Provide technical guidance and contribute to the definition of data architecture, engineering standards, and reusable solutions across Mondia s data ecosystem. Design and maintain the data foundations required to deliver reliable internal data products, including well-defined datasets, data sources, dashboards, reports, and analytical solutions. Contribute as a senior member of the team to the reliable operation, performance, scalability, and cost efficiency of Mondia s AWS-based data platform, including Amazon Redshift, Athena, AWS Glue, Amazon S3, Step Functions, Lambda, EC2, and related AWS services. Design, build, test, deploy, monitor, and maintain end-to-end data pipelines and data management solutions using AWS Glue, Python, SQL, Spark/PySpark, and similar cloud-based ETL and data-processing technologies. Design and implement data models, schemas, tables, and storage structures across Amazon Redshift, Amazon S3, and the wider AWS data platform. Design and maintain orchestration patterns, workflows, event-driven components, and scheduling solutions using AWS Step Functions, AWS Glue Workflows, Amazon EventBridge, AWS Lambda, and similar technologies. Promote operational excellence through automation, GitLab CI/CD, Infrastructure as Code, observability, testing, documentation, and consistent engineering practices. Define, implement, and continuously improve automated data-quality and reliability controls, including checks for completeness, accuracy, consistency, validity, duplication, freshness, and reconciliation. Maintain appropriate data lineage, metadata, technical documentation, and ownership information to improve transparency, trust, and maintainability. Use appropriate programming languages, integration patterns, and engineering tools to connect systems and deliver reliable data solutions. Evaluate technologies based on the use case and adapt as platforms and requirements evolve. Use approved AI technologies and AI-assisted development tools as part of daily engineering activities to improve productivity, code quality, testing, documentation, troubleshooting, and solution design. Identify opportunities to integrate AI capabilities into data products where they provide measurable business or operational value. Communicate technical concepts, results, risks, and recommendations clearly to both technical and non-technical stakeholders across all levels of the organization. Document architectures, data flows, design decisions, operational procedures, and technical standards, while contributing constructively to technical discussions and engineering decisions. Comply with Mondia s policies, procedures, security requirements, and data-governance standards, while supporting the company s mission, vision, and values. Perform other reasonable job-related duties and responsibilities as assigned by the direct manager.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Computer Science/Engineering or Statistics. Skills &amp; Experience: +3 years of professional experience in Data Engineering or Data Warehousing with an integrative perspective, from management to operations involvement and hands-on experience with cloud architecture and cloud technologies such as AWS, Azure or Google Cloud Platform GCP. Strong proficiency in Python and SQL; experience with Scala, Java, or Bash/Shell scripting is an advantage. Solid experience with AWS data services, particularly Amazon Redshift, S3, Glue, Athena, Lambda, Step Functions, and EventBridge. Strong understanding of data warehouse, data lake, ETL/ELT, data modelling, and cloud data architecture concepts. Experience building and operating scalable data pipelines using AWS Glue, Spark/PySpark, or similar technologies. Good understanding of cloud security, identity and access management, data protection, monitoring, and logging. Experience with APIs, microservices, and event-driven integration patterns. Working knowledge of GitLab CI/CD, automation, Infrastructure as Code, and modern software engineering practices. Experience using AI-assisted development tools to improve engineering productivity and quality. Very good written and spoken English, with strong technical documentation and communication skills.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.&nbsp;</p><br><p>Our mission is simple: help businesses build stronger relationships through seamless digital commerce.&nbsp;</p><br><p>At Sana Commerce, you’ll join a team that’s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact.&nbsp;</p><br><p>We are looking for a <strong>Senior&nbsp;Data Engineer</strong> to design, build, and optimize our <strong>Azure and Databricks-based data infrastructure</strong>. You will play a critical role in developing scalable <strong>ETL pipelines, data ingestion frameworks, and </strong><strong>contribute to </strong><strong>AI/ML-powered solutions</strong> that drive internal decision-making and customer-facing insights.</p><br><p>This is a hands-on role that requires expertise in <strong>Azure Data Services, Databricks, and Python/SQL</strong>. You will work closely with <strong>Data Architects, Engineers, and Product teams</strong> to develop robust data solutions that power <strong>analytics, personalization, and AI-driven customer experiences</strong>.</p><br><br>Job Description<br><p><strong>Data Pipeline Development &amp; Infrastructure</strong></p><br><ul><li>Design, build, and maintain <strong>scalable data pipelines</strong></li><li>Develop <strong>real-time and batch data processing</strong> frameworks for structured and unstructured data.</li><li>Implement <strong>ETL/ELT workflows</strong> to ingest data from various sources, ensuring <strong>high availability and performance</strong>.</li><li>Optimize <strong>data storage and retrieval</strong> of data in (near) real time and batch processes</li><li>Ensure <strong>cost-efficient</strong> and <strong>high-performance</strong> data infrastructure that scales with business needs.</li></ul><p><strong>Data Solutions &amp; AI-Driven Applications</strong></p><br><ul><li>develop data pipelines for <strong>ML recommenders, search functionality, and AI-enhanced features</strong>.</li><li>Develop and maintain <strong>data models, APIs, and integrations</strong> to support analytics and customer applications.</li><li>Support <strong>eCommerce-related data solutions</strong>, including product recommendations, customer segmentation, and personalization models.</li></ul><p><strong>Collaboration &amp; Continuous Improvement</strong></p><br><ul><li>Work closely with <strong>Data Architects, Analysts, and Product Teams</strong> to understand data requirements and deliver best-in-class solutions.</li><li>Monitor and troubleshoot <strong>performance issues</strong>, ensuring high availability and efficiency of data pipelines.</li><li>Continuously optimize <strong>cost, performance, and scalability</strong> of data engineering solutions.</li></ul><br>Qualifications<br><ul><li>5+ years of experience as a <strong>Data Engineer</strong>, working with <strong>Azure and Databricks</strong>&nbsp;</li><li>Strong expertise in <strong>data pipeline development, ETL workflows, and real-time/batch data processing</strong>.</li><li>Experience in <strong>big data technologies, and large-scale data storage</strong>.</li><li>Familiarity with <strong>data governance, security, and compliance best practices</strong> and <strong>tools</strong></li><li>Proficiency in <strong>Python, </strong><strong>and </strong><strong>SQL,</strong> for data transformation, data quality and automation.</li><li>Strong experience in <strong>optimizing data performance and cost-efficiency in cloud environments</strong>.</li></ul><p><strong>Nice to Have</strong></p><br><ul><li>Experience with <strong>eCommerce data solutions</strong>, such as customer segmentation, recommendation engines, and personalization models.</li><li>Knowledge of <strong>event-driven architectures, streaming data processing, and real-time analytics</strong>.</li><li>Familiarity with <strong>LLM-based AI applications and OpenAI </strong><strong>or similar </strong><strong>APIs</strong>.</li></ul><p><strong>Why you’ll love working here</strong></p><br><ul><li>Impact from day one – Join a scale-up where your ideas shape how global businesses operate online.</li><li>Continuous learning – Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.</li><li>Hybrid flexibility – Work from our office in Alexandria 3 days per week and from home 2 days.</li><li>Career growth – Expand your technical and leadership scope in a company built for long-term success.</li></ul><p><strong>Our values</strong></p><br><p>At Sana Commerce, our values drive everything we do:</p><br><ul><li>Champions of Our League –&nbsp;<em>We deliver lasting success, balancing quick wins and long-term value</em></li><li>Supercharge Our Customers –&nbsp;<em>We’re revolutionizing B2B commerce together, helping our customers to lead and succeed.</em></li><li>Determined to Grow –&nbsp;<em>We embrace challenges, growing and raising the bar for ourselves and our industry.</em></li><li>Bold Together –&nbsp;<em>We dare to be bold because we have each other’s back.</em></li></ul><p><strong>Ready to build reliability that scales?</strong></p><br><p>Apply now and help shape the foundation of our next-generation SaaS platform.</p><br><br>Additional Information<br><p>#LI-Hybrid</p><br><p>#LI-KK1</p><br><br><br> </div>

<ul><li><p>Entering data from source documents within time limits</p></li><li><p>Compiling, verifying accuracy and sorting information to prepare source data for computer entry</p></li><li><p>Reviewing data for deficiencies or errors, correcting any incompatibilities and checking the output</p></li></ul><p></p><p><strong>Requirements</strong></p><ul><li><p>Presentable.</p></li><li><p>Bachelor Degree</p></li><li><p>Communication Skills</p></li><li><p>Good command of English language.</p></li><li><p>Familiarity with administrative duties</p></li><li><p>Experience with MS Office and data programs</p></li><li><p>Proven data entry work experience, as a Data entry operator or Office clerk</p></li><li><p>Fast typing skills</p></li><li><p>1-2 year experience</p></li><li><p>Excellent knowledge of word processing tools and spreadsheets (MS Office Word, Excel etc.)</p></li></ul><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.&nbsp;</p><br><p>Our mission is simple: help businesses build stronger relationships through seamless digital commerce.&nbsp;</p><br><p>At Sana Commerce, we're looking for a <strong>Data Engineer (ML/AI)</strong> to design, build, and scale data systems that power our analytics and machine learning initiatives. Your work will ensure high-quality, reliable, and ML-ready data pipelines that enable both traditional analytics and advanced AI-driven solutions across the business.</p><br><br>Job Description<br><p><strong>What you'll be doing</strong></p><br><ul><li>Designing and maintaining <strong>data pipelines optimized for ML/AI workloads</strong>, including handling of large-scale, unstructured, and semi-structured data.</li><li>Building <strong>feature pipelines and feature stores</strong> that ensure reusability and consistency of data used by machine learning models.</li><li>Collaborating with Data Scientists and ML Engineers to understand <strong>data requirements for training, validation, and production deployment</strong>.</li><li>Ensuring <strong>data quality, lineage, and governance</strong> meet standards required for AI/ML applications.</li><li>Supporting <strong>MLOps practices</strong> by integrating data pipelines with model training, monitoring, and deployment workflows.</li><li>Leveraging distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for <strong>scalable ML data processing</strong>.</li></ul><br>Qualifications<br><p><strong>What you bring</strong></p><br><ul><li><strong>5+ years</strong> of experience as a Data Engineer, working with Azure and Databricks, ideally with exposure to <strong>ML/AI-related data workflows</strong>.</li><li>College degree that demonstrates your analytic abilities, such as Econometrics, Computer Sciences, Mathematics or similar;</li><li>Excellent analytical and problem-solving skills;</li><li>Experience with <strong>data preparation for ML/AI</strong>: managing large datasets, feature engineering, and real-time or batch data pipelines.</li><li>Familiarity with <strong>MLOps concepts</strong> and how data engineering supports model lifecycle management.</li><li>Experience with orchestration frameworks (Airflow, Prefect, or Azure Data Factory) for <strong>complex ML pipelines</strong>.</li><li>Knowledge of unstructured data processing (text, images, logs) is a plus.</li><li>Strong SQL and Python skills; experience with distributed data processing (PySpark, Dask, etc.) is a plus.</li></ul><p><strong>Why you’ll love working here</strong></p><br><ul><li>Impact from day one – Join a scale-up where your ideas shape how global businesses operate online.</li><li>Continuous learning – Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.</li><li>Hybrid flexibility – Work from our office 3 days per week and from home 2 days.</li><li>Career growth – Expand your technical and leadership scope in a company built for long-term success.</li></ul><p><strong>Our values</strong></p><br><p>At Sana Commerce, our values drive everything we do:</p><br><ul><li>Champions of Our League –&nbsp;<em>We deliver lasting success, balancing quick wins and long-term value</em></li><li>Supercharge Our Customers –&nbsp;<em>We’re revolutionizing B2B commerce together, helping our customers to lead and succeed.</em></li><li>Determined to Grow –&nbsp;<em>We embrace challenges, growing and raising the bar for ourselves and our industry.</em></li><li>Bold Together –&nbsp;<em>We dare to be bold because we have each other’s back.</em></li></ul><p><strong>Ready to build reliability that scales?</strong></p><br><p>Apply now and help shape the foundation of our next-generation SaaS platform.</p><br><br>Additional Information<br><p>#LI-Hybrid</p><br><br><br> </div>

Job Overview:We are seeking a talented and motivated Senior Data Engineer with expertise in Scala and Python to join our data engineering team. This individual will play a key role in the design, development, and optimization of our data infrastructure and data pipelines. The ideal candidate has a passion for building scalable, high-performance systems and is eager to broaden their knowledge across the entire data engineering stack, from hardware infrastructure to project development. Key responsibilities:• Collaborate with cross-functional teams to design, develop, and maintain data engineering solutions using Scala, Python, and Apache Spark.• Implementation of new data engineering technologies, frameworks, and tools, such as HDFS, Mongo DB, and Postgre SQL, to enhance performance, scalability, and efficiency.• Understand and optimize hardware and resource consumption for data engineering projects.• Develop a deep understanding of hardware infrastructure, including servers, clusters, and distributed systems, to ensure optimal data processing and storage.• Design and architect high-performance, fault-tolerant, and scalable data pipelines.• Conduct research and stay current with the latest advancements in data engineering, hardware technologies, and distributed computing paradigms.• Mentor and guide junior team members, fostering a culture of continuous learning and skill development.• Collaborate with stakeholders to gather requirements, propose technical solutions, and deliver high-quality data engineering projects. Requirements:• 2-3 years of professional experience as a Software Engineer, with a focus on data engineering.• Keen interest in hardware infrastructure, resource consumption optimization, and data engineering project development.• Proven ability to work effectively in an Agile development environment and manage multiple priorities.• Strong problem-solving, analytical thinking, communication, and collaboration skills.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Develop and implement the data engineering strategy in line with our business objectives and industry best practices Lead, mentor, and grow a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement Collaborate with the Data Architect to design, build, and optimize data infrastructure, ensuring it is scalable, secure, and performant Work closely with other engineering managers to ensure seamless data integration and accessibility for analytics and business intelligence initiatives Establish and enforce data engineering standards, guidelines, and best practices across the organization Identify, evaluate, and implement new data technologies and tools to enhance the capabilities of the data team Collaborate with cross-functional teams to identify data requirements and support data-driven projects Monitor and maintain the health and performance of mylo's data ecosystem, proactively identifying and addressing any issues Office environment: When you come to our b_labs office, you'll find creative workspaces and an open design to foster collaboration between teams.<br> Flexibility: You know best whether you want to work from home or in the office.<br> Equipment: From "Day 1" you will receive all the equipment you need be successful at work.<br> Bachelor's or Master's degree in Computer Science, Engineering, or a related field Minimum of 8 years of experience in data engineering, with at least 3 years in a leadership role Strong knowledge of data science tools, technologies, and best practices, including data warehousing, ETL, and data pipelines Proficiency in programming languages such as Python, Java, or Scala Experience with big data technologies such as Hadoop, Spark, and Kafka Familiarity with cloud-based data solutions (AWS, Azure, or Google Cloud) Exceptional problem-solving, communication, and leadership skills Ability to collaborate effectively with cross-functional teams and stakeholders</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.&nbsp;</p><br><p>Our mission is simple: help businesses build stronger relationships through seamless digital commerce.&nbsp;</p><br><p>At Sana Commerce, we're looking for a <strong>Data Engineer (ML/AI)</strong> to design, build, and scale data systems that power our analytics and machine learning initiatives. Your work will ensure high-quality, reliable, and ML-ready data pipelines that enable both traditional analytics and advanced AI-driven solutions across the business.</p><br><br>Job Description<br><p><strong>What you'll be doing</strong></p><br><ul><li>Designing and maintaining <strong>data pipelines optimized for ML/AI workloads</strong>, including handling of large-scale, unstructured, and semi-structured data.</li><li>Building <strong>feature pipelines and feature stores</strong> that ensure reusability and consistency of data used by machine learning models.</li><li>Collaborating with Data Scientists and ML Engineers to understand <strong>data requirements for training, validation, and production deployment</strong>.</li><li>Ensuring <strong>data quality, lineage, and governance</strong> meet standards required for AI/ML applications.</li><li>Supporting <strong>MLOps practices</strong> by integrating data pipelines with model training, monitoring, and deployment workflows.</li><li>Leveraging distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for <strong>scalable ML data processing</strong>.</li></ul><br>Qualifications<br><p><strong>What you bring</strong></p><br><ul><li><strong>5+ years</strong> of experience as a Data Engineer, working with Azure and Databricks, ideally with exposure to <strong>ML/AI-related data workflows</strong>.</li><li>College degree that demonstrates your analytic abilities, such as Econometrics, Computer Sciences, Mathematics or similar;</li><li>Excellent analytical and problem-solving skills;</li><li>Experience with <strong>data preparation for ML/AI</strong>: managing large datasets, feature engineering, and real-time or batch data pipelines.</li><li>Familiarity with <strong>MLOps concepts</strong> and how data engineering supports model lifecycle management.</li><li>Experience with orchestration frameworks (Airflow, Prefect, or Azure Data Factory) for <strong>complex ML pipelines</strong>.</li><li>Knowledge of unstructured data processing (text, images, logs) is a plus.</li><li>Strong SQL and Python skills; experience with distributed data processing (PySpark, Dask, etc.) is a plus.</li></ul><p><strong>Why you’ll love working here</strong></p><br><ul><li>Impact from day one – Join a scale-up where your ideas shape how global businesses operate online.</li><li>Continuous learning – Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.</li><li>Hybrid flexibility – Work from our office in Alexandria&nbsp;3 days per week and from home 2 days.</li><li>Career growth – Expand your technical and leadership scope in a company built for long-term success.</li></ul><p><strong>Our values</strong></p><br><p>At Sana Commerce, our values drive everything we do:</p><br><ul><li>Champions of Our League –&nbsp;<em>We deliver lasting success, balancing quick wins and long-term value</em></li><li>Supercharge Our Customers –&nbsp;<em>We’re revolutionizing B2B commerce together, helping our customers to lead and succeed.</em></li><li>Determined to Grow –&nbsp;<em>We embrace challenges, growing and raising the bar for ourselves and our industry.</em></li><li>Bold Together –&nbsp;<em>We dare to be bold because we have each other’s back.</em></li></ul><p><strong>Ready to build reliability that scales?</strong></p><br><p>Apply now and help shape the foundation of our next-generation SaaS platform.</p><br><br>Additional Information<br><p>#LI-Hybrid</p><br><br><br> </div>